Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 2,000,000 | 06/12/1995 | 30 |
MALE | 2,000,000 | 11/09/1995 | 29 |
MALE | 2,000,000 | 06/08/1995 | 30 |
MALE | 2,000,000 | 08/10/1996 | 29 |
FEMALE | 2,000,000 | 10/24/1996 | 28 |
MALE | 2,000,000 | 12/05/1997 | 27 |
MALE | 2,000,000 | 04/09/1983 | 42 |
MALE | 2,000,000 | 09/06/1996 | 29 |
MALE | 2,000,000 | 10/26/2001 | 23 |
MALE | 2,000,000 | 11/26/2000 | 24 |
FEMALE | 2,000,000 | 09/09/1994 | 31 |
MALE | 2,000,000 | 12/16/1996 | 28 |
FEMALE | 2,000,000 | 08/09/1999 | 26 |
FEMALE | 2,000,000 | 03/15/2000 | 25 |
FEMALE | 2,000,000 | 09/21/1997 | 28 |
MALE | 2,000,000 | 06/13/1993 | 32 |
MALE | 2,000,000 | 01/27/1994 | 31 |
FEMALE | 2,000,000 | 04/01/1988 | 37 |
MALE | 2,000,000 | 07/10/1999 | 26 |
MALE | 2,000,000 | 12/01/1994 | 30 |
FEMALE | 2,000,000 | 10/28/1995 | 29 |
FEMALE | 2,000,000 | 06/01/1995 | 30 |
MALE | 2,000,000 | 02/21/1999 | 26 |
MALE | 2,000,000 | 08/12/1990 | 35 |
MALE | 2,000,000 | 04/07/1999 | 26 |